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Record W4379793810 · doi:10.54254/2753-7048/5/20220707

Canada-United States Relations in the Environmental Field

2023· article· en· W4379793810 on OpenAlexaffabout
Ruidie Zhang

Bibliographic record

VenueLecture Notes in Education Psychology and Public Media · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsMcGill University
Fundersnot available
KeywordsEnvironmental movementContext (archaeology)PopularityPolitical scienceGlobalizationIndustrialisationEnvironmental pollutionEnvironmental degradationEnvironmental historyUrbanizationEconomic growthDevelopment economicsGeographyEnvironmental protectionPoliticsEconomicsEconomic historyEcology

Abstract

fetched live from OpenAlex

With the globalization of environmental issues, the impact of environmental pollution on people's lives has become increasingly important. Environmental issues have become increasingly urgent for governments and people in Canada and the United States, primarily due to the growing popularity of industrialization and urbanization. With the longest Canada-U.S. border in the world, the two countries' environmental relationship will directly impact environmental issues on both sides of the border. In terms of environmental policies and diplomatic relations, both countries played an excellent role as the first group of developed countries to emerge from the environmental movement. Based on many scholars' explorations and perspectives on the environmental relationship between Canada and the United States. This article will focus on the environmental policies of the two countries in the mid-to-late 20th century, exploring cross-governmental interactions as well as cross-border scientific and technological collaboration in the context of environmental policies from both countries. Meanwhile, the United States, the most powerful country of the period, has been a role model and an object of imitation in the environmental field for Canada and other countries. However, as the closest neighborhood, the United States has influenced Canada's environmental development positively and negatively, either directly or indirectly.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.447
Threshold uncertainty score0.347

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.317
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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